Application of data mining algorithms in research on traditional Chinese medicine formula / 中国药房

In recent years， data mining algorithms have been widely employed in scientific research within the field of traditional Chinese medicine （TCM）. The data mining algorithms are used to effectively handle and analyze the complex data in TCM formulas， providing a rational explanation for the mechanism of action. This method has proven particularly useful in uncovering patterns of compatibility and frequent combinations of herbs in TCM， thereby enhancing the reliability and accuracy of clinical diagnosis， target screening， and the study of new drugs. This paper reviews and analyzes 147 papers on TCM formula research that utilize data mining algorithms. The results indicate that data mining algorithms play a unique advantage in six sub- areas， including the study on the mechanism of action in TCM formula， the dose-efficacy of TCM formulas， the identification of core drugs pairs/groups， mining the relationships among “formulas-drug-symptom”， the discovery of new formulas， and mining the compatibility law. Notably， association rules and clustering algorithms are the most representative.

Análisis de interacciones de los actores de la red de conocimiento en salud ambiental del Observatorio Nacional de Salud de Colombia

Introducción: Las interrelaciones positivas y negativas entre el hombre y el medioambiente impactan en la salud general de la población, por esto, la gestión del conocimiento y la transformación social, orientadas a la prevención de la exposición a factores de riesgo ambiental y a la creación de ambientes propicios, deben realizarse a través de acciones multidisciplinares intersectoriales, como el trabajo colaborativo de redes del conocimiento. Objetivo: Describir las interacciones entre los actores de la Red de Conocimiento de Salud Ambiental del Observatorio Nacional de Salud de Colombia (ONS), con el fin de promover, mejorar y fortalecer la colaboración, intercambio de información y planificación conjunta de acciones. Metodología: Estudio descriptivo transversal de análisis de redes sociales mediante herramientas de minería de texto del lenguaje de programación R. Se analizaron las categorías de agua y saneamiento, clima, calidad del aire, radiaciones electromagnéticas e intoxicaciones químicas de un corpus documental de 99 textos de los actores de la red general de conocimiento en salud pública del ONS. Se calcularon medidas de centralidad y prestigio y se graficaron redes dirigidas multicapa con Power BI. Resultados: Los actores con mayor centralidad en la red fueron: Ministerio de Salud y Protección Social, Superintendencia de Salud, Profamilia, universidades de Antioquia y La Salle, ONS, Observatorio de Salud Ambiental de Bogotá, Organización Panamericana de la Salud y Organización Mundial de la Salud. Las cinco categorías analizadas presentaron bajas centralidades de grado, y las categorías de agua y clima mostraron mayor participación de los actores (más nodos e interacciones). Conclusiones: El análisis de redes sociales permitió identificar temas relevantes de salud ambiental entre los actores de la red del ONS, además de actores clave para desarrollar espacios de interacción y gestión del conocimiento. Acorde con las limitaciones del análisis, se sugiere la inclusión de aproximaciones bibliométricas para la actualización de las interacciones de la red.

Introduction: Positive and negative interactions between the human beings and the environment have an impact on the general health of the population. Therefore, it is necessary to use knowledge management and social transformation, in order to limit exposure to environmental risk factors by creating a favorable environment for healthcare. This should be carried out through multidisciplinary and intersectorial actions, such as the collaborative work of knowledge networks. Objective: To describe the interactions between the actors within the Environmental Health Knowledge Network Colombia's National Observatory of Health (ONS acronym in Spanish), in order to promote, improve and strengthen collaboration, information exchange and planning of collaborative actions. Methodology: Cross-sectional descriptive study to analyze social interactions through text mining tools by R, programmer language. Categories analyzed: Water and sanitation, climate, air quality, electromagnetic radiation and chemical poisoning. Data source: a documentary corpus of 99 texts done by actors of Environmental Health Knowledge Network of Colombia's ONS. We calculated centrality and prestige measures. We used Power BI in order to plot multi-layered directed networks. Results: Actors with greatest centrality in the network: Ministry of Health and Social Protection, Health Superintendency, Profamilia, Antioquia and La Salle universities, National Health Observatory, Bogota's Observatory of Environmental Health, the Pan American Health Organization and the World Health Organization. The five categories analyzed provides a low centrality degree, and water and climate categories presented greater participation by actors (more nodes and links). Conclusions: Social interactions analysis provides the identification of relevant environmental health issues in Colombia and key actors in order to develop interaction spaces for knowledge management. The analysis had limitations that suggest the inclusion of bibliometric approaches for updating the interactions within the network.

Modelo predictivo de enfermedad cardiovascular basado en inteligencia artificial en la atención primaria de salud / A Predictive Model for Cardiovascular Disease based on Artificial Intelligence in Primary Health Care

Introducción: En Cuba y en el resto del mundo, las enfermedades cardiovasculares son reconocidas como un problema de salud pública mayúsculo y creciente, que provoca una alta mortalidad. Objetivo: Diseñar un modelo predictivo para estimar el riesgo de enfermedad cardiovascular basado en técnicas de inteligencia artificial. Métodos: La fuente de datos fue una cohorte prospectiva que incluyó 1633 pacientes, seguidos durante 10 años, fue utilizada la herramienta de minería de datos Weka, se emplearon técnicas de selección de atributos para obtener un subconjunto más reducido de variables significativas, para generar los modelos fueron aplicados: el algoritmo de reglas JRip y el meta algoritmo Attribute Selected Classifier, usando como clasificadores el J48 y el Multilayer Perceptron. Se compararon los modelos obtenidos y se aplicaron las métricas más usadas para clases desbalanceadas. Resultados: El atributo más significativo fue el antecedente de hipertensión arterial, seguido por el colesterol de lipoproteínas de alta densidad y de baja densidad, la proteína c reactiva de alta sensibilidad y la tensión arterial sistólica, de estos atributos se derivaron todas las reglas de predicción, los algoritmos fueron efectivos para generar el modelo, el mejor desempeño fue con el Multilayer Perceptron, con una tasa de verdaderos positivos del 95,2 por ciento un área bajo la curva ROC de 0,987 en la validación cruzada. Conclusiones: Fue diseñado un modelo predictivo mediante técnicas de inteligencia artificial, lo que constituye un valioso recurso orientado a la prevención de las enfermedades cardiovasculares en la atención primaria de salud(AU)

Introduction: In Cuba and in the rest of the world, cardiovascular diseases are recognized as a major and growing public health problem, which causes high mortality. Objective: To design a predictive model to estimate the risk of cardiovascular disease based on artificial intelligence techniques. Methods: The data source was a prospective cohort including 1633 patients, followed for 10 years. The data mining tool Weka was used and attribute selection techniques were employed to obtain a smaller subset of significant variables. To generate the models, the rule algorithm JRip and the meta-algorithm Attribute Selected Classifier were applied, using J48 and Multilayer Perceptron as classifiers. The obtained models were compared and the most used metrics for unbalanced classes were applied. Results: The most significant attribute was history of arterial hypertension, followed by high and low density lipoprotein cholesterol, high sensitivity c-reactive protein and systolic blood pressure; all the prediction rules were derived from these attributes. The algorithms were effective to generate the model. The best performance was obtained using the Multilayer Perceptron, with a true positive rate of 95.2percent and an area under the ROC curve of 0.987 in the cross validation. Conclusions: A predictive model was designed using artificial intelligence techniques; it is a valuable resource oriented to the prevention of cardiovascular diseases in primary health care(AU)

Forecasting The Risk Of Chronic Kidney Disease Using Artificial Intelligence Approaches

In this Paper With the aid of AI techniques, this study aims to predict the early detection of chronic kidney disease, also known as chronic renal disease, in diabetic patients. It then suggests a decision tree to reach specific conclusions with desired accuracy by evaluating its performance in relation to its specification and sensitivity. Methods: The behaviour of learning algorithms based on a set of data mining indicators affects the models that are produced proportionately. Predicting the future is no longer a difficult task thanks to the promises of predictive analytics in big data and the use of machine learning algorithms, especially for the health sector, which has undergone significant evolution as a result of the development of new computer technologies that gave rise to numerous fields of study research. Many initiatives are made to deal with the explosion of medical data on the one hand, and to learn meaningful information from it, forecast diseases, and anticipate treatments on the other. To extract meaningful information and aid in decision-making, researchers used all the technological advancements, including big data analytics, predictive analytics, machine learning, and learning algorithms.

Application of data mining to extract knowledge about the occurrence of fistulas after palatoplasty / Aplicação de mineração de dados para extração de conhecimento sobre ocorrência de fístulas após palatoplastia

Introduction: Data mining techniques expand access to important information for the decision-making process during health care. The objective the study proposes using data mining techniques to identify variables (surgical treatment protocols, patient characteristics, post-surgical complications) associated with fistulas after primary palatoplasty in patients with unilateral transforamen incisor cleft (UTIC). Method: A data set of 222 patients with UTIC without syndromes, operated by four surgeons with Furlow's or von Langenbeck's primary palatoplasty techniques, was analyzed for this study. Two models for detecting the outcome of surgery were induced using data mining techniques (Decision Tree and Apriori). Results: Five rules were selected from a decision tree pointing to some variables as predictors of fistulas associated with primary palatoplasty: infection, cough, hypernasality, and surgeon. Analysis of the model indicates that it correctly classifies 95.9% of occurrences between the absence and presence of fistulas. The second model indicates that the absence of post-surgical complications (infection and fever) and normal speech results (absent hypernasality, without suggestive of velopharyngeal dysfunction) are related to the absence of fistulas. Regarding surgical procedures, the Furlow technique and the Vomer flap were more frequent in patients with fistulas. Conclusion: Data mining techniques, as applied in the present study, pointed to infection and cough, hypernasality, and surgeon and surgical techniques as predictors of fistulas related to primary palatoplasty.

Introdução: As técnicas de mineração de dados ampliam o acesso a informações importantes para o processo de tomada de decisão durante os cuidados com a saúde. O objetivo do estudo propõe a utilização de técnicas de mineração de dados para identificar variáveis (protocolos de tratamento cirúrgico, características do paciente, intercorrências pós-cirúrgicas) associadas à ocorrência de fístulas após palatoplastia primária em pacientes com fissura transforame incisivo unilateral (FTIU). Método: Um conjunto de dados de 222 pacientes com FTIU sem síndromes, operados por quatro cirurgiões com as técnicas de palatoplastia primária de Furlow ou von Langenbeck, foi analisado para este estudo. Dois modelos para detecção do resultado da cirurgia foram induzidos usando técnicas de mineração de dados (Árvore de Decisão e Apriori). Resultados: Cinco regras foram selecionadas de uma árvore de decisão apontando para algumas variáveis como preditivas de fístulas associadas à palatoplastia primária: infecção, tosse, hipernasalidade, cirurgião. A análise do modelo indica que ele classifica corretamente 95,9% das ocorrências entre ausência e presença de fístulas. O segundo modelo indica que a ausência de intercorrências pós-cirúrgicas (infecção e febre) e resultado de fala normal (hipernasalidade ausente, sem sugestivo de disfunção velofaríngea) estão relacionados à ausência de fístulas. Em relação aos procedimentos cirúrgicos, o uso da técnica de Furlow e retalho de Vomer foram mais frequentes nos pacientes com fístulas. Conclusão: Técnicas de mineração de dados, conforme aplicadas no presente estudo, apontaram para infecção e tosse, presença de hipernasalidade, cirurgião e técnica cirúrgica como preditores de fístulas relacionadas à palatoplastia primária.

Analysis of medication rules of TCM for perimenopausal syndrome based on literature mining / 药学实践杂志

Objective To investigate the rules of Traditional Chinese Medicine in the treatment of perimenopausal syndrome (PMS) and provide a theoretical basis for the clinical treatment of PMS. Methods The literature related to PMS were collected from China Knowledge Network (CNKI), Wanfang database and Weipu database in the past 20 years, the herbal compound prescriptions for the treatment of PMS were screened and a relevant database were established and analyzed by SPSS. Results The relevant literatures contains 184 Chinese medicine prescriptions/proprietary Chinese medicines, 122 flavors of traditional Chinese medicines, and the drug categories were mainly tonic drugs, antipyretic drugs, astringent drugs, and tranquilizers. The core single-flavor Chinese medicines were Baishao(Radix Paeoniae Alba), Shudihuang(Rehmannia glutinosa ), Danggui(Radix Angelicae Sinensis), Fuling (Indian Buead). The property and flavor covered sweet, bitter, cold, etc.; and the channel tropism belonged to the liver, kidneys, heart, lungs, spleen and meridians. The cluster analysis of high-frequency Traditional Chinese Medicine obtained two main combinations. Conclusion TCM treatment of PMS focused on replenishing qi, soothing the liver, nourishing the kidneys, nourishing blood and calming the heart, and then according to clinical compatibility with drugs such as soothing the nerves, clearing heat and removing dampness; most of its clinical treatment were Xiaoyaosan, Liuwei Dihuang pills, and Zhibo Rehmanniae decoction and other prescriptions which were added and subtracted.

Research on the regulation of food therapy prescription of Traditional Chinese medicine in treating children′s stagnation based on data mining / 中国实用护理杂志

Objective:Data mining technology was used to analyze the regulation of food therapy prescriptions in treating children′s stagnation.Methods:Collect the therapy prescriptions used for regulating children's stagnation in the Dictionary of Traditional Chinese Medicine Prescriptions, the Complete Record of Dietary Therapy Prescriptions of Traditional Chinese Medicine and the Dictionary of Chinese Medicinal Diet, extract the information of prescription name, composition, etc, and use SPSS 22.0 for frequency analysis, and use Weka for correlation analysis. Results:A total of 99 dietary prescriptions for children with hysteria were included, involving a total of 62 foods, with a total use frequency of 224 times, among which the food with high use frequency were chicken gizzard, japonica rice, hawthorn, etc. The four characteristics of food were mainly concentrated in the flat, the five tastes were mainly concentrated in the sweet, the return channel was mainly concentrated in the spleen and stomach channel, and the effect was mainly concentrated in the absorption of food and tonic deficiency. The main symptoms of the therapeutic prescription for children's accumulation of stagnation were internal accumulation of milk and food and combination of spleen deficiency. The commonly used food combination for children's accumulation of stagnation of milk and food was "fructus amomi - chicken gizzard". The commonly used food combination of children with spleen deficiency and accumulation of stagnation was "lentil bean-yam-japonica rice" and "millet-yam".Conclusions:Traditional Chinese medicine diet prescription for the treatment of children's accumulation of stagnation pay attention to harmony and regulation, sweet and slow tonifying, emphasizing the adjustment of the spleen and stomach, taking into account the regulation of lung, following the "eliminating and supplementing both, according to the cause of treatment" rule, advocate syndrome differentiation of food.

Study on the law of syndrome differentiation and treatment about TCM for the treatment of type 2 diabetic kidney disease stage Ⅳ based on literature study / 国际中医中药杂志

Objective:To analyze the law of TCM syndrome differentiation and treatment for type 2 diabetic kidney disease (T2DKD) stage Ⅳ based on literature research.Methods:Literature on type 2 diabetic kidney disease stage Ⅳ was retrieved from CNKI, WanFang data, VIP and SinoMed database. The retrieval time was from the establishment of the databases to December 31, 2020. Data screening was conducted based on the inclusion and exclusion criteria prior to data entry in Microsoft Office Excel 365. Data mining and statistical analysis were performed by SPSS Statistics 23.0 and SPSS Modeler 18.1.Results:A total of 110 articles with 3 969 T2DKD stage Ⅳ cases, 111 prescriptions and 206 kinds of Chinese materia medica were included. Kidney and spleen were the main location of T2DKD stage Ⅳ. T2DKD stage Ⅳ based on TCM deficiency in nature syndrome was mainly based on qi and yin deficiency, and the most common excess in superficiality syndrome was blood stasis. The prescriptions commonly used included Liuwei Dihuang Decoction, Zhenwu Decoction, Buyang Huanwu Decoction, and Shenqi Dihuang Decoction etc. The classification of medication efficacy with the highest frequency was qi-tonifying herb, followed by blood-activating and stasis-resolving herb. Among them, Astragali Radix was the core Chinese materia medica in the prescription. The results of association rule obtained 54 association rules. Conclusions:The disease characteristics of T2DKD stage Ⅳ is simultaneous occurrence of deficiency and excess syndromes. The deficiency in nature is mainly characterized by deficiency of qi and yin, deficiency of spleen and kidney, deficiency of spleen-kidney yang, and excess in superficiality is mainly characterized by blood stasis, dampness and toxin. Tonifying qi and nourishing yin, activating blood circulation and dredging collaterals are the basic treatment methods, while strengthening spleen and kidney, dampness and detoxification should be emphasized. Astragali Radix, Angelicae Sinensis Radix, Salviae Miltiorrhizae Radix et Rhizoma, Poria, Dioscoreae Rhizoma, Corni Fructus, Rhei Radix et Rhizoma and Alismatis Rhizoma were the basic Chinese materia medica in this period, which reflects the idea of "treating qi, blood and water together".

Study on acupoint selection law of acupuncture for autism spectrum disorder based on data mining / 国际中医中药杂志

Objective:To analyze the acupoint selection law of acupuncture for autism spectrum disorder (ASD) using data mining techniques.Methods:Literature related to acupuncture for ASD was retrieved from the CNKI, SinoMed, VIP, Wanfang, and PubMed databases from the establishment of the databases to April 1, 2022, and then a database of acupuncture prescriptions was established. The frequency analysis of acupoint use was performed using Microsoft Excel 2019; the Apriori algorithm was used to analyze the association law of acupoints/acupoint areas; SPSS 26.0 was used to perform intergroup cluster analysis.Results:A total of 97 relevant articles with 97 acupuncture prescriptions and 98 acupoints/acupoint areas were included. The most frequently used acupoint was Shenmen (HT 7). The acupoint area of Jin's three-needle therapy and the Governor Vessel acupoints are commonly used. The most frequently occurring part of the acupoint/acupoint area was the head, and the most commonly used specific acupoint was the rendezvous acupoint. Association rule analysis yielded 40 groups of acupoints/acupoint areas, and the most commonly used combination was Laogong (PC 8) and Shenmen (HT 7). Four categories were extracted among high-frequency acupoints/acupoint areas by cluster analysis.Conclusion:Acupuncture treatment for ASD mainly selects the head acupoints, mainly selecting the acupoint area of Jin's three-needle therapy and the Governor Vessel acupoints, and paying attention to the use of specific acupoints.

Study on medication rule of TCM fumigation and washing in promoting the postoperative healing of hemorrhoids / 国际中医中药杂志

Objective:To analyze the medication law of Traditional Chinese Medicine (TCM) fumigation and washing to promote postoperative healing of hemorrhoids by data mining technology.Methods:The clinical literature about TCM fumigation and washing to promote postoperative healing of hemorrhoids was retrieved from the databases of CNKI, Wanfang, VIP, PubMed from the establishment of the databases to March 10, 2022. The frequency efficacy attributes, core medicinal pairs and core prescriptions of TCM were analyzed by using the Ancient and Modern Medical Records Cloud Platform (V2.3.5).Results:A total of 299 articles were included, involving 200 kinds of Chinese materia medica. The drugs used at high frequency ≥40 were Sophorae Flavescentis Radix, Phellodendri Chinensis Cortex, Natrii Sulfas, Galla Chinensis and Rhei Radix et Rhizoma and so on. The main efficacy was to clear heat and reduce dampness; cold, warm and slightly cold were the main medicinal properties, and the tastes were mainly bitter, pungent, sweet and sour, and most of the drugs return to the liver meridian, stomach meridian, heart meridian, large intestine meridian and so on. A total of 22 rules were obtained by correlation analysis. Five groups of drugs were obtained by clustering analysis. The core prescription drugs obtained by complex network analysis included Sophorae Flavescentis Radix, Phellodendri Chinensis Cortex, Natrii Sulfas, Galla Chinensis, Rhei Radix et Rhizoma, Taraxaci Herba, Borneolum Syntheticum, Sanguisorbae Radix, Atractylodis Rhizoma, Carthami Flos, Scutellariae Radix, Olibanum, Myrrha, and Lonicerae Japonicae Flos. Conclusion:TCM fumigation and washing can promote the postoperative healing of hemorrhoids mainly by clearing heat and reducing dampness and detoxification, as well as promoting blood circulation and removing blood stasis, reducing swelling and relieving pain, restraining sore and generating muscle.

Study on medication law of TCM compounds for treatment of blood stasis type vascular dementia / 国际中医中药杂志

Objective:To explore the medication law and core Traditional Chinese Medicine (TCM) compounds in the treatment of blood stasis vascular dementia (VD) based on data mining.Methods:The literature about TCM treatment for blood stasis VD was retrieved from the databases of CNKI, Wanfang, VIP, and CBM from January 2000 to November 2021. Microsoft Office Excel 2019, SPSS Modeler 18.0, SPSS Statistics 25.0, R X64 4.1.2, and Origin 2021 were used to perform medication frequency analysis, frequency analysis of four properties and five tastes of TCM, association rules, clustering analysis, factor analysis and data visualization.Results:A total of 196 articles were included, with 196 TCM prescriptions, involving 200 kinds of Chinese materia medica. High-frequency drugs were for Acori Tatarinowii Rhizoma, Chuanxiong Rhizoma, Salviae Miltiorrhizae Radix et Rhizoma, Polygalae Radix, Carthami Flos. The medicinal properties were mainly warm, mild and cold, the tastes were mainly sweet, bitter and pungent, and the meridians were mainly liver meridian, spleen meridian and heart meridian. A total of 19 association rules were obtained from the analysis of association rules for 2 kinds of Chinese materia medica, and the rules of the representative were Acori Tatarinowii Rhizoma- Polygalae Radix, Chuanxiong Rhizoma- Carthami Flos, Acori Tatarinowii Rhizoma- Curcumae Radix. A total of 4 categories were extracted through clustering analysis. Factor analysis extracted a total of 8 common factors. Conclusion:The core pathogenesis of blood stasis VD is blood stasis blocking brain collaterals, and there were also pathological factors such as qi deficiency, yin deficiency, phlegm turbidity and so on. The basic treatment is promoting blood circulation and removing stasis, and different methods of promoting blood circulation and drugs are selected. The methods of strengthening spleen and reducing phlegm, nourishing yin and blood, inducing resuscitation, tonifying the kidney and spleen, regulating qi, promoting collaterals and so on can also be used based on syndromes and symptoms of the patients.

Study on medication law of TCM compounds with national patents for treatment of vascular dementia / 国际中医中药杂志

Objective:To explore the prescription and medication law of Traditional Chinese Medicine (TCM) compounds in the treatment of vascular dementia (VD) based on patent database.Methods:TCM compounds with patents about VD were retrieved from Chinese patent announcement website of the State Intellectual Property Office and CNKI. The retrieval time was from the establishment to the databases to 31 st, March 2022. The frequency, clusteringand association analysis were carried out with the help of TCM inheritance auxiliary platform (V2.5). The medication law was analyzed. Results:154 TCM compound patents for the treatment of vascular dementia were screened, involving 227 kinds of Chinese materia medica. Among them, Acori Tatarinowii Rhizoma (44 times, 28.57%) was used more frequently, and the common medicinal pair was Salviea Miltiorrhizae Radix et Rhizoma- Acori Tatarinowii Rhizoma (17 times, 11.03%). The medicinal property was mainly warm, the taste was mainly sweet, and the meridian was mainly liver meridian. Those with high confidence based on association rules were " Corni Fructus -Acori Tatarinowii Rhizoma" (0.90), " Corni Fructus -Rehmannize Radix et Praeparata" (0.90). Based on the complex network, it was concluded that the core drugs were 14 groups such as " Rehmannize Radix et Praeparata- Cistanches Herba- Corni Fructus". The new prescriptions extracted by entropy cluster analysis included 7 groups such as " Rehmannize Radix et Praeparata, Cistanches Herba, Corni Fructus and Asparagi Radix". Conclusion:The treatment of VD by TCM compounds with national patents is mainly based on tonifying deficiency, promoting blood circulation and removing blood stasis, eliminating phlegm and dampness, expelling wind and dredging collaterals, opening orifices and resuscitation, which can provide reference for clinical practice and new drug research and development.

Study on the regular pattern of "disease-syndrome-medicine" of different diseases with the same treatment for blood stasis syndrome based on complex network similarity analysis / 国际中医中药杂志

Objective:To reveal the regular pattern characteristics of different diseases with the same treatment in the most common diseases with blood stasis syndrome; To provide reference for the clinical treatment of blood stasis syndrome and the development of new drugs.Methods:RCTs of blood stasis syndrome were retrieved from CNKI, Chongqing VIP, Wanfang Data, SinoMed, and China Medical Journal Full-text Database from the establishment of the databases to December 31, 2022. Diseases, accompanied symptoms, prescriptions and medicines were extracted. The diseases with the highest frequency among the three disease systems with the highest frequency were collected, and their medication characteristics and prescription rules were analyzed using frequency statistics and association rules Apriori algorithm. The core prescriptions of blood stasis syndrome of three kinds of diseases were excavated and their network similarity was analyzed.Results:A total of 2 052 articles were included. Stable coronary heart disease, ischemic stroke and DN were more common diseases with blood stasis syndrome. The common drugs for the three diseases were Chuanxiong Rhizoma, Carthami Flos, Persicae Semen, Angelicae Sinensis Radix. The core prescription of stable coronary heart disease was Persicae Semen- Carthami Flos- Chuanxiong Rhizoma- Angelicae Sinensis Radix- Paeoniae Radix Rubra; the core prescription of ischemic stroke is Buyang Huanwu Decoction; the core prescription of DN was Persicae Semen- Carthami Flos- Chuanxiong Rhizoma- Angelicae Sinensis Radix- Cornus Officinalis- Dioscoreae Rhizoma- Astragali Radix. The similarity between stable coronary heart disease and ischemic stroke core prescription network was 0.35, the similarity between ischemic stroke and DN core prescription network was 0.29, and the similarity between stable coronary heart disease and DN core prescription network was 0.26. Conclusions:The theory of "different diseases with the same treatment" can profoundly guide clinical practice. The core medicines of blood stasis syndrome are Persicae Semen, Carthami Flos, Angelicae Sinensis Radix, and Chuanxiong Rhizoma. On this basis, combined with different diseases and syndromes to make changes of adding and subtracting.

Research on the medication law of external application of TCM for psoriasis vulgaris based on modern articles / 国际中医中药杂志

Objective:To analyze the medication law of external application of TCM in the treatment of psoriasis vulgaris (PV) by using data mining method.Methods:Clinical controlled trial literature about external application of TCM in the treatment of PV was retrieved from CNKI, VIP, WanFang, SinoMed, PubMed and Cochrane Library from the establishment of the databases to May 23, 2022. Prescriptions were extracted after screening. TCM inheritance computing platform V3.0 was used to analyze the property, taste, meridian, efficacy, use frequency, common medicinal pairs and the core combinations.Results:A total 186 prescriptions were included, involving 190 kinds of Chinese materia medica. The medicines were mostly bitter and cold in property and taste, mainly belonging to the liver and heart meridians. Heat-clearing drugs were mainly used, followed by blood circulation-activating and stasis-eliminating medicines, and tonic medicines. The ten most frequently used medicines were Sophorae Flavescentis Radix, Dictamni Cortex, Phellodendri Chinensis Cortex, Kochiae Fructus, Angelicae Sinensis Radix, Salviea Miltiorrhizae Radix et Rhizoma, Poria, Rehmannine Radix, and Arnebiae Radix; the 3 commonly used medicinal pairs were Sophorae Flavescentis Radix- Dictamni Cortex, Sophorae Flavescentis Radix- Cnidii Fructus, and Sophorae Flavescentis Radix- Kochiae Fructus; 4 combinations were obtained through evolution. Conclusions:External application of TCM for the treatment of PV is around the core pathogenesis of "heat toxin", mainly treating from the blood, including cooling blood and detoxifcation, activating blood circulation and removing stasis, nourishing the blood and moistening dryness. Clearing heat and drying dampness, dispelling wind and relieving itching are also valued. The treating thoughts can provide some references for clinical treatment.

Discussion on medication law of Shao Nianfang in the treatment of kidney deficiency and bone marrow loss in senile dementia based on ancient and modern medical case cloud platform / 国际中医中药杂志

Objective:To discuss the medication law in prescriptions of Professor Shao Nianfang in the treatment of kidney deficiency and bone marrow loss in senile dementia based on data mining.Methods:Medical cases of kidney deficiency and bone marrow loss in senile dementia in the Geriatric Hospital of Shandong University of Traditional Chinese Medicine from 1st Jan. 2014 to 31st Oct, 2019 were collected. Through hospital electronic medical records system prescription statistics, using ancient and modern medical case cloud platform (V1.2.4), medication frequency, property ans taste, efficacy analysis, correlation rule analysis, clustering analysis and complex network analysis were performed.Results:Totally 110 cases were included in medical cases, involving 238 kinds of Chinese materia medica. The top 10 Chinese materia medica with use frequency were Poria, Acori Tatarinowii Rhizoma, Corni Fructus, Dioscoreae Rhizoma, Rehmanniae Radix Praeparata, Alpiniae Oxyphyllae Fructus, Rehmanniae Radix, Astragali Radix, Chuanxiong Rhizoma, Atractylodis Macrocephalae Rhizoma; the properties were mainly mild, warm slight cold, and cold; the tastes were mainly sweet, bitter, pungent, and light; the meridians were mainly spleen, liver, lung and kidney meridians; the efficacy was clearing dampness and promoting diuresis, clearing heat and promoting blood circulation, calming mind, clearing heat and detoxification, reducing dampness and promote appetizing, tonifying spleen; the association analysis found 15 groups of drug combinations used more than 25 times, they were: Corni Fructus and Poria, Corni Fructus and Dioscoreae Rhizoma, Dioscoreae Rhizoma and Corni Fructus, Rehmanniae Radix Praeparata and Corni Fructus, Dioscoreae Rhizoma and Poria, Astragali Radix and Poria, Alismatis Rhizoma and Poria, Moutan Cortex and Poria, Rehmanniae Radix Praeparata and Poria, Rehmanniae Radix and Poria, Polygalae Radix and Acori Tatarinowii Rhizoma, Moutan Cortex and Corni Fructus, Moutan Cortex and Dioscoreae Rhizoma, Alismatis Rhizoma and Corni Fructus, Alismatis Rhizoma and Dioscoreae Rhizoma; clustering analysis identified four groups of new prescriptions, the first group: Poria, Rehmanniae Radix, Rehmanniae Radix Praeparata, Alismatis Rhizoma, Moutan Cortex, Corni Fructus, Dioscoreae Rhizoma; the second group: Acori Tatarinowii Rhizoma, Cistanches Herba, Morindae Officinalis Radix; the third group: Alpiniae Oxyphyllae Fructus, Chuanxiong Rhizoma, Glycyrrhizae Radix et Rhizoma Praeparata Cum Melle; the fourth group: Atractylodis Macrocephalae Rhizoma, Codonopsis Radix, Astragali Radix, Angelicae Sinensis Radix; the results of complex network analysis showed that the core prescription was modified Liuwei Dihuang Pills. Conclusion:This study found that in view of kidney deficiency and bone marrow loss in senile dementia, Professor Shao pays attention to strengthening the healthy qi, and focuses on tonifying deficiency, taking into account the methods of clearing dampness, clearing heat, detoxification, removing blood stasis and restoring consciousness. The four new prescriptions found in the study can provide a reference for modified medication for syndrome differentiation.

Acupoint selection rule of acupuncture therapy for relieving postoperative pain based on data mining / 国际中医中药杂志

Objective:To analyze the rule of acupoint selection for acupuncture in relieving postoperative pain based on data mining technology.Methods:Articles about acupuncture for postoperative pain were retrieved from CNKI, SinoMed, VIP, Wanfang, PubMed, Embase and Web of Science databases from establishment to June 6, 2022. Excel 2019 and SPSS Modeler 18.0 software were used to establish acupoints database and conduct the data analysis.Results:Totally 308 articles were obtained, involving 317 acupuncture prescriptions and 173 acupoints. Acupoints of bladder meridian, stomach meridian, large intestine meridian and spleen meridian were used frequently. Zusanli (ST 36), Hegu (LI 4) and Neiguan (PC 6) were high-frequency acupoints with a frequency of ≥50 times. Five-shu acupoint was often selected in specific acupoints. The common sites for acupuncture to relieve postoperative pain were abdomen, perianal, lumbar back and knee. Zusanli (ST 36), Neiguan (PC 6) and other acupoints were commonly used for abdominal postoperative pain, and the most commonly used combination was "Zusanli (ST 36)-Neiguan (PC 6)"; Chengshan (BL 57), Changqiang (GV 1) and other acupoints were often used for perianal postoperative pain, and "Chengshan (BL 57)-Changqiang (GV 1)" was highly correlated combination; Shenshu (BL 23) and Huantiao (GB 30) were commonly used for postoperative pain in the lumbar and back region, and acupoints with high correlation were "Ashi acupoint-Huantiao (GB 30)" and "Shenshu (BL 23)-Huantiao (GB 30)"; Xuehai (SP10) and Liangqiu (ST 34) were commonly used for postoperative pain of knee, and their compatibility had a high correlation.Conclusion:Acupuncture therapy for relieving postoperative pain often selects Yang meridians acupoints, and follows the principle of distal-proximal points combination and acupoint selection along meridians, and pays attention to the use of specific acupoints.

Study on the medication law and mechanism of treatment of lumbar disc herniation by national Traditional Chinese Medicine master Liu Bailing based on data mining and network pharmacology / 国际中医中药杂志

Objective:To explore the core prescriptions and mechanism of national TCM master Liu Bailing in the treatment of lumbar disc herniation (LDH) based on data mining and network pharmacology methods; To provide the clinical reference for the treatment of LDH.Methods:The cases of LDH treated by Professor Liu in Affiliated Hospital of Changchun University of Chinese Medicine, from January 1, 2011 to December 31, 2019 were collected and analyzed. Hierarchical clustering and association rules were used to analyze the medication rules and core prescriptions. TCMSP, GeneCards, ETCM, SymMap, DAVID, etc. were used to analyze the network pharmacology of the core compounds in treating LDH and symptoms, and reveal the mechanism.Results:A total of 1 334 prescriptions were included, involving 201 kinds of Chinese materia medica, among which the medicinal property was mainly warm, the flavor was mainly sweet and the meridians were mainly liver meridian and kidney meridian; the core medicines for the treatment of LDH included Aconiti Lateralis Radix Praeparata, Spatholobi Caulis, Cinnamomi Cortex, Corydalis Rhizoma, Eucommiae Cortex, Paederia Foetida and Amomi Fructus, reflecting that Professor Liu Bailing often treats LDH from the perspective of kidney deficiency, and commonly uses the treatment methods of dispelling wind, relieving pain, warming yang and benefiting the kidney. The core prescriptions mainly participated in three pathways of cancer, immunity and cell metabolism, including PI3K-Akt signaling pathway, TNF signaling pathway and FoxO signaling pathway. Conclusion:Professor Liu Bailing's treatment of LDH focuses on overall dialectical treatment, which mainly dispels wind, relieves pain, warms yang and benefits the kidney and the mechanism of the core prescriptions may lie in diminishing the inflammatory response. The core prescriptions may treat LDH by regulating the immune response and cellular physiological functions.

Exploration in the medication law and core TCM prescriptions of Jia Yuejin in the treatment of coronary heart disease complicated with depression based on the "target-component-Chinese materia medica" and clinical data / 国际中医中药杂志

Objective:To explore the medication law and core TCM prescriptions of Jia Yuejin in the treatment of coronary heart disease (CHD) complicated with depressive disorder (DD) by analyzing target-based network and mining clinical data.Methods:The targets of CHD complicated with DD were obtained by GeneCards, OMIM, TTD and other databases, and then the protein-protein interaction network of the two disease targets was constructed and then screened out the core targets. The Metascape platform was used to perform GO and KEGG pathway enrichment analysis on the intersection targets respectively to analyze the mechanism of action of CHD complicated with DD. Then TCMSP was used to query the active components acting on the targets and the Chinese materia medica containing these active components, and the data were imported into Cytoscape 3.9.0 to construct the core target-active component-Chinese materia medica network for network topology analysis. The outpatient clinical data of Jia Yuejin from January 1, 2015 to January 1, 2021 were collected, and data mining was conducted by using the Ancient and Modern Medical Case Cloud Platform (V2.3.5) to obtain his commonly used prescriptions. The results were fitted with the core TCM prescriptions obtained by target network analysis, and the drugs in the core prescriptions were analyzed.Results:Totally 1 501 intersection targets were obtained by protein interaction network analysis of CHD complicated with DD, which could be divided into 4 core target clusters, including inflammation cause, subclass tumor cause, subclass lipid metabolism factor, and fibrosis factor; a total of 480 active components were obtained by TCMSP, which belonged to 181 types of Chinese materia medica, including 8 core components: quercetin, kaempferol, luteolin, carotene, beta-carotene, acacetin, formononetin and ellagic acid. GO enrichment analysis yielded 61 results, mainly including positive regulation of protein phosphorylation, signal receptor agonist activity, side of membrane , etc.; KEGG pathway enrichment analysis yielded a total of 20 results, mainly including cancer pathways, lipid and atherosclerosis, JAK-STAT signaling pathway, etc. Clinical data mining included 120 cases and 148 prescriptions, including 135 types of Chinese materia medica; the properties were mainly mild, warm, slightly cold and cold; the tastes were mainly sweet, bitter and light, and the medicine mainly belongs to the lung, spleen, liver, heart, stomach, kidney and other meridians; drug association analysis, cluster analysis and complex network analysis were used to synthesize common prescriptions. The core TCM prescriptions obtained from common prescription and target network analysis were fitted: Pinelliae Rhizoma, Glycyrrhizae Radixet Rhizoma, Bupleuri Radix, Cyperi Rhizoma, Salviea Miltiorrhizae Radix et Rhizoma, Corydalis Rhizoma, Codonopsis Radix, Astragali Radix, Acori Tatarinowii Rhizoma. Conclusion:The medication law of Jia Yuejin in the treatment of CHD complicated with DD is in accordance with core TCM prescriptions. This study can provide guidance for clinical treatment and further research of CHD complicated with DD.

Research on the rules of Traditional Chinese Medicine prescriptions of gastroesophageal reflux disease based on Ancient and Modern Medical Records Cloud Platform / 国际中医中药杂志

Objective:To explore the rules of Traditional Chinese Medicine (TCM) prescriptions of gastroesophageal reflux disease based on Ancient and Modern Medical Records Cloud Platform.Method:The relevant medical cases from ancient medical case database, modern medical case database, shared medical case database and famous doctors' medical case database in Ancient and Modern Medical Records Cloud Platform (V2.3.8) were selected, and frequency analysis, attribute analysis, association analysis, cluster analysis and complex network analysis were performed on the herbs.Results:A total of 107 medical records were obtained, including 225 TCMs. The core medicines were Radix et Rhizoma Glycyrrhizae, Pericarpium Citri Reticulatae, Rhizoma Coptidis, Poria, and Fructus Evodiae. The drug property was mainly cold and warm, and the herbal tastes bitter and pungent. The meridian tropism of drugs mainly manifested in the spleen and stomach meridians. The core herbal pairs were Radix et Rhizoma Glycyrrhizae and Pericarpium Citri Reticulatae. The core prescription consisted of 17 herbs including Radix Glycyrrhizae, Pericarpium Citri Reticulatae, Rhizoma Coptidis, Fructus Evodiae, Poria, Endoconcha Sepiae, Herba Taraxaci, Fructus Aurantii, Radix Paeoniae Alba, Radix Bupleuri, Jiang Banxia, Rhizoma Cyperi, Radix Aucklandiae, Caulis Bambusae In Taenia, Fructus Aurantii Immaturus, Fructus Amomi, and Rhizoma Atractylodis Macrocephalae. Conclusions:Chinese medicine treatment of gastroesophageal reflux disease is mainly based on Chaihu Shugan Powder, Zuojin Pill, and Wendan Decoction. Moreover, we need to combine with clinical symptoms to add or subtract herbs.

Medication law of Traditional Chinese Medicine patent compounds in the treatment of Alzheimer disease based on data mining / 国际中医中药杂志

Objective:To analyze the medication law of Traditional Chinese Medicine (TCM) patent compounds for Alzheimer disease (AD) by using data mining method.Methods:The TCM compounds for the treatment of AD in the patent database were screened, and the frequency, clustering and association analysis were carried out with the help of TCM inheritance calculation platform, SPSS Statistics 21.0 and SPSS Modeler 18.0 software. The medication law was analyzed.Results:A total of 220 patent compounds were included, involving 361 kinds of Chinese materia medica; the top 10 high-frequency drugs were Acori Tatarinowii Rhizoma, Polygalae Radix, Ginseng Radix et Rhizoma, Chuanxiong Rhizoma, Astragali Radix, Lycii Fructus, Poria, Rehmanniae Radix PraeparataAngelicae Sinensis Radix, Salviae Miltiorrhizae Radix et Rhizoma; the most frequently used drugs were drugs for tonifying deficiency and promoting blood circulation to remove blood stasis; most of their properties belonged to warm, mild and cold; the tastes were mainly sweet, bitter and pungent; the meridians belonged to the five internal organs. 16 items of association data (4 combinations of two items and 12 combinations of three items) were obtained by association rule analysis, and the strongest correlation group was " Acori Tatarinowii Rhizoma- Polygalae Radix" and " Acori Tatarinowii Rhizoma- Chuanxiong Rhizoma- Polygalae Radix". Cluster analysis showed four prescription combinations and three pairs of drug compatibility, including the addition and subtraction structure of Kaixin Powder, Zuogui Pill, Bazhen decoction and so on. Conclusion:The core treatment principle of TCM patent compound treatment of AD is regulating and tonifying the five internal organs to treat its root, resolving phlegm and removing blood stasis to treat the symptoms, which accords with the theoretical basis of TCM in the treatment of AD, and can provide reference for clinical practice and new drug research and development.